Jian-Xun Wang - RankMe

49 papers A* 6B 1Journal 40Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AortaDiff: Volume-Guided Conditional Diffusion Models for Multi-Branch Aortic Surface Generation. IEEE Trans. Vis. Comput. Graph. Delin An, Pan Du, Jian-Xun Wang, Chaoli Wang
2026	J	`jnl`	D-Flow SGLD: Source-Space Posterior Sampling for Scientific Inverse Problems with Flow Matching. CoRR Meet Hemant Parikh, Yaqin Chen, Jian-Xun Wang
2026	J	`jnl`	DiFVM: A Vectorized Graph-Based Finite Volume Solver for Differentiable CFD on Unstructured Meshes. CoRR Pan Du, Yongqi Li, Mingqi Xu, Jian-Xun Wang
2025	J	`jnl`	AI-Powered Automated Model Construction for Patient-Specific CFD Simulations of Aortic Flows. CoRR Pan Du, Delin An, Chaoli Wang, Jian-Xun Wang
2025	J	`jnl`	AortaDiff: Volume-Guided Conditional Diffusion Models for Multi-Branch Aortic Surface Generation. CoRR Delin An, Pan Du, Jian-Xun Wang, Chaoli Wang
2025	J	`jnl`	Asynchronous parallel reinforcement learning for optimizing propulsive performance in fin ray control. Eng. Comput. Xin-Yang Liu, Dariush Bodaghi, Qian Xue, Xudong Zheng, Jian-Xun Wang
2025	J	`jnl`	Conditional neural field for spatial dimension reduction of turbulence data: a comparison study. CoRR Junyi Guo, Pan Du, Xiantao Fan, Yahui Li, Jian-Xun Wang
2025	J	`jnl`	Generative Latent Diffusion Model for Inverse Modeling and Uncertainty Analysis in Geological Carbon Sequestration. CoRR Zhao Feng, Xin-Yang Liu, Meet Hemant Parikh, Junyi Guo, Pan Du, Bicheng Yan, Jian-Xun Wang
2025	J	`jnl`	HUG-VAS: A Hierarchical NURBS-Based Generative Model for Aortic Geometry Synthesis and Controllable Editing. CoRR Pan Du, Mingqi Xu, Xiaozhi Zhu, Jian-Xun Wang
2025	J	`jnl`	Hierarchical LoG Bayesian Neural Network for Enhanced Aorta Segmentation. CoRR Delin An, Pan Du, Pengfei Gu, Jian-Xun Wang, Chaoli Wang
2025	—	`conf`	Hierarchical Log Bayesian Neural Network for Enhanced Aorta Segmentation. ISBI Delin An, Pan Du, Pengfei Gu, Jian-Xun Wang, Chaoli Wang
2025	J	`jnl`	Implicit Neural Differential Model for Spatiotemporal Dynamics. CoRR Deepak Akhare, Pan Du, Tengfei Luo, Jian-Xun Wang
2025	J	`jnl`	Multi-fidelity Reinforcement Learning Control for Complex Dynamical Systems. CoRR Luning Sun, Xin-Yang Liu, Siyan Zhao, Aditya Grover, Jian-Xun Wang, Jayaraman J. Thiagarajan
2025	J	`jnl`	Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model. CoRR Zeping Chen, Marwa Yacouti, Maryam Shakiba, Jian-Xun Wang, Tengfei Luo, Vikas Varshney
2024	J	`jnl`	Asynchronous Parallel Reinforcement Learning for Optimizing Propulsive Performance in Fin Ray Control. CoRR Xin-Yang Liu, Dariush Bodaghi, Qian Xue, Xudong Zheng, Jian-Xun Wang
2024	J	`jnl`	CoNFiLD-inlet: Synthetic Turbulence Inflow Using Generative Latent Diffusion Models with Neural Fields. CoRR Xin-Yang Liu, Meet Hemant Parikh, Xiantao Fan, Pan Du, Qing Wang, Yi-Fan Chen, Jian-Xun Wang
2024	J	`jnl`	DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling. CoRR Deepak Akhare, Tengfei Luo, Jian-Xun Wang
2024	J	`jnl`	Differentiable hybrid neural modeling for fluid-structure interaction. J. Comput. Phys. Xiantao Fan, Jian-Xun Wang
2024	A*	`conf`	P NeurIPS Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Zeruizhi Cheng, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu
2024	J	`jnl`	P CoRR Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu
2024	J	`jnl`	SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain. Comput. Phys. Commun. Pu Ren, Chengping Rao, Su Chen, Jian-Xun Wang, Hao Sun, Yang Liu
2023	J	`jnl`	Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generation. CoRR Han Gao, Xu Han, Xiantao Fan, Luning Sun, Li-Ping Liu, Lian Duan, Jian-Xun Wang
2023	J	`jnl`	Differentiable hybrid neural modeling for fluid-structure interaction. CoRR Xiantao Fan, Jian-Xun Wang
2023	J	`jnl`	PhySR: Physics-informed deep super-resolution for spatiotemporal data. J. Comput. Phys. Pu Ren, Chengping Rao, Yang Liu, Zihan Ma, Qi Wang, Jian-Xun Wang, Hao Sun
2023	J	`jnl`	Probabilistic Physics-integrated Neural Differentiable Modeling for Isothermal Chemical Vapor Infiltration Process. CoRR Deepak Akhare, Zeping Chen, Richard Gulotty, Tengfei Luo, Jian-Xun Wang
2023	A*	`conf`	Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search. ICLR Fangzheng Sun, Yang Liu, Jian-Xun Wang, Hao Sun
2023	A*	`conf`	Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model. NeurIPS Luning Sun, Xu Han, Han Gao, Jian-Xun Wang, Liping Liu
2022	A*	`conf`	Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty. NeurIPS Luning Sun, Daniel Huang, Hao Sun, Jian-Xun Wang
2022	J	`jnl`	Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty. CoRR Luning Sun, Daniel Zhengyu Huang, Hao Sun, Jian-Xun Wang
2022	J	`jnl`	Deep learning-based surrogate model for 3-D patient-specific computational fluid dynamics. CoRR Pan Du, Xiaozhi Zhu, Jian-Xun Wang
2022	—	`conf`	PatchGT: Transformer Over Non-Trainable Clusters for Learning Graph Representations. LoG Han Gao, Xu Han, Jiaoyang Huang, Jian-Xun Wang, Liping Liu
2022	J	`jnl`	PatchGT: Transformer over Non-trainable Clusters for Learning Graph Representations. CoRR Han Gao, Xu Han, Jiaoyang Huang, Jian-Xun Wang, Li-Ping Liu
2022	J	`jnl`	Physics-informed Deep Super-resolution for Spatiotemporal Data. CoRR Pu Ren, Chengping Rao, Yang Liu, Zihan Ma, Qi Wang, Jian-Xun Wang, Hao Sun
2022	A*	`conf`	Predicting Physics in Mesh-reduced Space with Temporal Attention. ICLR Xu Han, Han Gao, Tobias Pfaff, Jian-Xun Wang, Liping Liu
2022	J	`jnl`	Predicting Physics in Mesh-reduced Space with Temporal Attention. CoRR Xu Han, Han Gao, Tobias Pfaff, Jian-Xun Wang, Li-Ping Liu
2022	J	`jnl`	Predicting parametric spatiotemporal dynamics by multi-resolution PDE structure-preserved deep learning. CoRR Xin-Yang Liu, Hao Sun, Jian-Xun Wang
2022	J	`jnl`	Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search. CoRR Fangzheng Sun, Yang Liu, Jian-Xun Wang, Hao Sun
2021	J	`jnl`	PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs. CoRR Pu Ren, Chengping Rao, Yang Liu, Jian-Xun Wang, Hao Sun
2021	J	`jnl`	PhyGeoNet: Physics-informed geometry-adaptive convolutional neural networks for solving parameterized steady-state PDEs on irregular domain. J. Comput. Phys. Han Gao, Luning Sun, Jian-Xun Wang
2021	J	`jnl`	Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control. CoRR Xin-Yang Liu, Jian-Xun Wang
2021	J	`jnl`	Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems. CoRR Han Gao, Matthew J. Zahr, Jian-Xun Wang
2021	J	`jnl`	SurfRiver: Flattening Stream Surfaces for Comparative Visualization. IEEE Trans. Vis. Comput. Graph. Jun Zhang, Jun Tao, Jian-Xun Wang, Chaoli Wang
2020	J	`jnl`	A Bi-fidelity Ensemble Kalman Method for PDE-Constrained Inverse Problems. CoRR Han Gao, Jian-Xun Wang
2020	B	`conf`	SSR-VFD: Spatial Super-Resolution for Vector Field Data Analysis and Visualization. PacificVis Li Guo, Shaojie Ye, Jun Han, Hao Zheng, Han Gao, Danny Z. Chen, Jian-Xun Wang, Chaoli Wang
2019	A*	`conf`	Adding Constraints to Bayesian Inverse Problems. AAAI Jiacheng Wu, Jian-Xun Wang, Shawn C. Shadden
2019	J	`jnl`	Non-intrusive model reduction of large-scale, nonlinear dynamical systems using deep learning. CoRR Han Gao, Jian-Xun Wang, Matthew J. Zahr
2018	J	`jnl`	Prediction of Reynolds Stresses in High-Mach-Number Turbulent Boundary Layers using Physics-Informed Machine Learning. CoRR Jian-Xun Wang, Junji Huang, Lian Duan, Heng Xiao
2016	J	`jnl`	Quantifying and reducing model-form uncertainties in Reynolds-averaged Navier-Stokes simulations: A data-driven, physics-informed Bayesian approach. J. Comput. Phys. Heng Xiao, Jinlong Wu, Jian-Xun Wang, Rui Sun, Christopher J. Roy
2015	J	`jnl`	Topology algorithm based on link maintenance time for mobile ad hoc using directional antennas. Int. J. Wirel. Mob. Comput. Jin-Fu Lin, Peng Bai, Jian-Xun Wang, Ying Wang, Tao Wang